Postgraduate Studentships - Search for funding opportunities.
Postgraduate Studentships - Search for funding opportunities.
Study Details: MASc 1 year full-time/2 years part-time; PG Dip 9 months full-time/21 months part-time
The MASc in Data Visualisation is an innovative, interdisciplinary course which enables students to acquire crucial knowledge and skills in visualisation as a methodology for data-intensive research, communication and engagement. Students will be trained in concepts, methods and techniques from data science, digital humanities and design research, whilst developing a portfolio of work that prepares them for diverse career opportunities.
The programme aims to develop the methodological, conceptual and practical skills needed to design, deploy and interpret data visualisations successfully in academic, policy and public contexts. The course combines academic training in methodological and conceptual aspects with the development of technical, creative and practical competences in data visualisation as a way of communicating knowledge, as a form of engagement, and as a way of seeing the world.
During the programme you will develop:
What is an MASc?
The MASc is a flexible degree where students customise their learning trajectory through interdisciplinary topics and modules that might usually be isolated to either MA or MSc qualifications. Through optional module choices, project directions and final dissertation, you can tune your degree to fit your learning and career goals.
Skills from this degree
For fees and funding options, please visit website to find out more
For fees and funding options, please visit website to find out more
Graduates from our courses have gone on to work for employers including: AXA, BaiDu, GroupM, Just Eat, Skyscanner, The Labour Party and University of Warwick. They have pursued roles such as: authors, writers and translators; business and financial project management professionals; buyers and procurement officers; data analysts and product managers; marketing associate professionals; quality assurance and regulatory professionals and researchers.
Our department has a dedicated professionally qualified Senior Careers ConsultantLink opens in a new window offering impartial advice and guidance together with workshops and events throughout the year. Previous examples of workshops and events include:
Core modules
Visualisation Foundations
Data visualisations (graphs, maps, networks) have become a fundamental currency for the exploration of data and the exchange of information. This module develops foundational understanding in what visualisations are and how they operate. Coding skills are developed alongside the conceptual understanding, allowing students to develop visualisations and their understanding in terms of design, theory, data and code.
As visualisation is such an interdisciplinary topic, students will engage with diverse topics spanning data science and psychology, graphic design and the arts, and critical cartography and data feminism.
Data Visualisation in Science, Culture and Public Policy
The module introduces concepts, methods and empirical cases that enable an understanding of the affordances, power and limitations of data visualisation in science, culture, and public policy.
Data visualisations have opened-up diverse challenges and opportunities for contemporary science, culture and public policy that show how visualisations mediate knowledge and enable communications through persuasion and real-world engagements. The module draws from social, cultural and political theory, science and technology studies, as well as digital and environmental humanities, equipping students with an ability to analyse and research the affordances of data visualisation as forms of knowledge, intervention and participation.
Advanced Visualisation Design Labs
In this module, students develop three visualisation projects that further advance their independence in visualisation design, development, analysis and critique. Each project responds to a visualisation challenge drawn from methodological, societal, scientific and policy topics. At least one of the challenges involves a real-world problem proposed by an external partner.
Students respond to project briefs through hands-on workshops, prototyping, and expanding their design and technical skills in dialogue with their methodological and critical understanding. Master-classes expand students’ methodological and technical repertoire in areas such as human-centred design, typography, storytelling, stencilling, and digital cartography. In dialogue with their visualisation portfolio, students produce a design manifesto exploring their methodological and aesthetic approach, in relation to ethics and visual cultures.
Optional modules
Optional modules can vary from year to year. Example optional modules may include:
Warwick is a leading university, somewhere forward-looking and ambitious, where the starting point is always 'anything is possible'. Our students, al...
